Innovation, Data & Analytics Team, AI/ML Engineer (Agentic Systems)

Scorpion Therapeutics; Pennsylvania; Hybrid; USD 180,000 - 240,000; Full time

Job summary

Scorpion Therapeutics seeks a senior software/ML engineer to lead development of AI-driven agentic systems and production-grade workflows that translate analytical methods into scalable tools. You will design orchestration frameworks, integrate APIs, and work with data engineering and analytics teams to ensure data quality, governance, cost control, and regulatory compliance.

Hybrid work model across NYHQ/PA/MA/CT/Europe/Montreal, with a focus on transforms within data science workflows and

Qualifications

• 8+ years in software or ML engineering with a Bachelor's or 7+ years with a Master's, preferably with healthcare or pharma experience.
• Experience with agentic frameworks and production system design.
• Strong programming skills and familiarity with healthcare data.

Responsibilities

• Design and optimize orchestration frameworks, integrate APIs, and ensure system robustness and compliance.
• Collaborate with data engineering and analytics teams to maintain data quality, governance, and cost control.
• Document architecture for audit purposes.
• Proactively improve workflow efficiency.

Skills

ML engineering

Software engineering

MLOps

Healthcare data

Agentic frameworks

Production system design

Programming skills

Education

Bachelor's degree in CS/Engineering

Master's degree (preferred)

Job description

Role

Lead development of AI-driven agentic systems for Pfizer's Data & Analytics team, focusing on building reliable, production-grade workflows that translate analytical methods into scalable tools.

Responsibilities

design and optimize orchestration frameworks, integrate APIs, and ensure system robustness and compliance; collaborate with data engineering and analytics teams to maintain data quality, governance, and cost control; document architecture for audit purposes; proactively improve workflow efficiency.

Requirements

8+ years in software or ML engineering (Bachelor's) or 7+ years with Master's, with experience in healthcare or pharma sectors, agentic frameworks, production system design, and MLOps; strong programming skills and healthcare data familiarity preferred.

High-Value

AI systems in regulated biopharma environment, hybrid work model (NYHQ, PA, MA, CT, Europe, Montreal), with a focus on transforms within data science workflows, emphasizing compliance, auditability, and operational excellence.